Appropriate modeling of a surveillance scene is essential for the detection anomalies in road traffic. Learning usual paths can provide valuable insight into traffic conditions and thus help identifying unusual routes taken by commuters/vehicles. If are learned nonparametric way, manual interventions marking be avoided. In this paper, we propose an unsupervised method to learn frequently used f...